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macro-sentiment-analyst

Analyzes news sentiment and macroeconomic indicators into structured investment research findings.

Updated May 9, 2026
Search Tags:#news analysis#sentiment analysis#equity research#yfinance#investment report#macroeconomic analysis#evidence ledger
One-click install
npx skills add https://github.com/122yjs/invest_harness --skill macro-sentiment-analyst-122yjs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: macro-sentiment-analyst
Source: https://github.com/122yjs/invest_harness/tree/main/plugins/vertical-plugins/invest-research/skills/macro-sentiment-analyst
Command: npx skills add https://github.com/122yjs/invest_harness --skill macro-sentiment-analyst-122yjs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investment research reports require consistent, evidence-backed analysis of market sentiment and macroeconomic conditions, but gathering news, analyst opinions, social sentiment, and macro indicators into a reproducible format is time-consuming and error-prone. ## Core Features & Use Cases - News & Sentiment Analysis: Organizes recent 1-3 month news, corporate announcements, analyst revisions, institutional flows, and social sentiment into structured tables with dates, sources, and sentiment ratings. - Macro & Policy Environment Analysis: Evaluates GDP, CPI/PPI, interest rates, FX, PMI, credit spreads, regulations, and demographic trends with explicit impact direction and importance ratings for the target company. - Evidence Ledger Emission: Appends every collected evidence item to a dual-format evidence ledger (Markdown table and JSONL) with role-prefixed IDs for auditability and cross-file consistency validation. - Use Case: When building an equity research report for a listed company, use this Skill to produce the Part X (news/sentiment) and Part XI (macro/policy) findings file that downstream synthesizer skills consume. ## Quick Start Analyze the news sentiment and macroeconomic environment for ticker AAPL and write the findings to the workspace macro_sentiment folder.

Frequently Asked Questions about macro-sentiment-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze market sentiment for a stock research report?▼

Collect recent 1-3 month news, analyst consensus and revisions, institutional flows, and social sentiment, then organize them into dated tables with source, price impact, and sentiment ratings. This Skill produces that structured findings file for the report's sentiment section.

What macroeconomic indicators should an equity research report cover?▼

Cover GDP growth, CPI/PPI, policy rates, unemployment, PMI, consumer indicators, industrial production, FX, commodity prices, credit spreads, and the yield curve. Each indicator should include its reference date, source, and the transmission path to the company's revenue, costs, or valuation.

Does this Skill support Korean listed companies?▼

Yes, for Korean listings it prioritizes official DART/KRX disclosure channels via the korea-stock MCP or direct APIs for disclosures and price/volume data, then supplements with yfinance news and web search for sentiment coverage.

How is evidence tracked and validated in the analysis workflow?▼

Each evidence item is appended to both a Markdown ledger and a JSONL ledger using MAC-prefixed IDs, following an append-only supersede rule. A workspace contract script verifies that both files share identical evidence ID sets and entry tuples.

What are the limitations of social media sentiment in stock analysis?▼

Social and forum sentiment is treated only as a supplementary observation of short-term psychology, never as core evidence. The Skill requires documenting platform, sampling period, rumor status, and sample bias, and prohibits over-weighting it in final investment conclusions.

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